Design of Multimodal English Vocabulary Acquisition Mode Based on Cloud Computing Technology
- 10.2991/978-94-6463-034-3_50How to use a DOI?
- cloud computing; mobile learning; multimodality; English vocabulary acquisition
In view of the current mono and inflexible English vocabulary teaching mode, this paper proposes a multi-modal vocabulary acquisition mode based on cloud computing platform. This mode adopts B/S-based multi-layer distributed system design, and computing resources and storage space of cloud computing platform is devised as teaching environment while multi-modality as teaching means. This brand-new vocabulary acquisition mode is able to achieve mobile learning based on cloud computing, cloud sharing of learning resources and other functions, thus making vocabulary acquisition more convenient, efficient and faster. The use of multi-modal teaching methods is capable of activating vocabulary storage of students and improving their vocabulary learning experience, hence their English comprehensive ability is promoted effectively. The test results in this mode show that vocabulary acquisition effect in multi-modal mode based on cloud computing platform is better than that in traditional vocabulary acquisition mode.
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Cite this article
TY - CONF AU - Zeng Jie PY - 2022 DA - 2022/12/23 TI - Design of Multimodal English Vocabulary Acquisition Mode Based on Cloud Computing Technology BT - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022) PB - Atlantis Press SP - 492 EP - 499 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-034-3_50 DO - 10.2991/978-94-6463-034-3_50 ID - Jie2022 ER -